International Journal For Multidisciplinary Research

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Integrated Bioinformatics Analysis Identifies Angiogenesis-Related Genes in Psoriasis.

Author(s) Dr. Parampreet Kaur, Prof. Dr. Rajinder Kaur
Country India
Abstract Background:
Psoriasis is a chronic inflammatory skin disorder characterized by immune dysregulation and abnormal angiogenesis. Vascular remodeling plays a critical role in disease progression by facilitating immune cell infiltration and sustaining inflammation. However, the molecular mechanisms underlying angiogenesis in psoriasis remain incompletely understood.
Methods:
Gene expression data from the GEO dataset GSE13355 were analyzed using GEO2R to identify differentially expressed genes (DEGs) between psoriatic lesional (PP) and non-lesional (PN) skin samples. Genes with an adjusted p-value < 0.05 and |logFC| > 1 were considered significant. Angiogenesis-related genes were retrieved from Gene Ontology and intersected with DEGs to identify angiogenesis-associated genes. Functional enrichment analysis was performed using DAVID, focusing on Gene Ontology biological processes.
Results:
A total of 1,061 DEGs were identified, of which 20 were associated with angiogenesis following intersection analysis. Among these, the majority of genes were upregulated, while 8 were downregulated. Key upregulated genes included CXCL8, HPSE, S100A7, and CCL2, whereas RORA, LEP, and GREM1 were among the downregulated genes. Gene Ontology enrichment analysis revealed significant enrichment in angiogenesis-related processes, including angiogenesis (P = 9.00 × 10⁻¹⁸), regulation of angiogenesis, and blood vessel morphogenesis. Functional annotation clustering further supported the involvement of coordinated vascular and cellular migration processes.
Conclusion:
This study identified key angiogenesis-related genes and biological processes involved in psoriasis. The findings highlight the critical role of angiogenesis and its interaction with inflammatory pathways in disease pathogenesis. These genes may serve as potential therapeutic targets for future investigation.
Keywords Psoriasis, Angiogenesis, Bioinformatics, Gene Expression, GEO, DAVID
Field Biology > Genetics / Molecular
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-16
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.74932
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